This webinar is recorded and available on YouTube.
Enterprise Knowledge Graphs bring together and harmonize all-important organizational knowledge and metadata. They focus on business-specific information needs and how to properly source the needed data rather than to analyze preexisting application models. A key challenge in sourcing the knowledge is to analyze unstructured data. A recent cross-industry study uncovered that on average less than 1% of unstructured data is analyzed or used at all, despite that the majority of internal business processes are organized around documents.
The main focus of this webinar is to demonstrate the new features in GraphDB 9.8 enabling the users to connect text mining technology with knowledge graphs. We show practical examples of how to:
- Register external text mining services based on GATE, Spacy and Ontotext annotation services;
- Transform external annotation models into RDF using SPARQL queries;
- Extend the out-of-the-box supported services with any third party service like Refinitiv;
- Subscribe for specific patterns of graph changes over Kafka Connector.
All these features are available in the latest GraphDB 9.8 Free, Standard or Enterprise.
Who is this webinar for:
- Users who need to analyze or populate KGs from unstructured documents;
- Data scientists who need to use the power of graph to disambiguate entities;
- Data engineers who need to implement text mining workflows and persist their output into knowledge graphs.
Expected duration:
- 45 minutes presentation
- 15 minutes Q&A session
